HCMay 4

Beyond Advocacy: A Design Space for Replication-Related Studies

arXiv:2603.049591.6h-index: 4
AI Analysis

For researchers in visualization and HCI, this provides a structured way to design and analyze replication studies, though it is an incremental conceptual contribution.

The paper introduces a multi-dimensional design space framework for categorizing and planning replication studies, treating replication as a pairwise comparison problem with four practical dimensions across three comparison levels.

The importance of replication is often discussed and advocated -- not only in the domains of visualization and HCI, but in all scientific areas. When replicating a study, design decisions need to be made with regards which aspects of the original study will remain the same and which will be altered. We present a supporting multi-dimensional design space framework within which such decisions can be identified, categorized, compared and analyzed. The framework treats replication experimental design as a pairwise comparison problem, and represents the design by four practical dimensions defined by three comparison levels. The design space is therefore a framework that can be used for both retrospective characterization and prospective planning. We provide worked examples, and relate our framework to other attempts at describing the scope of replication studies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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